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A CRISPR/Cas9-based enhancement of high-throughput single-cell transcriptomics

Author

Listed:
  • Amitabh C. Pandey

    (Tulane University School of Medicine
    Southeast Louisiana Veterans Health Care System
    The Scripps Research Institute)

  • Jon Bezney

    (The Scripps Research Institute
    Jumpcode Genomics
    Stanford University School of Medicine)

  • Dante DeAscanis

    (Jumpcode Genomics)

  • Ethan B. Kirsch

    (The Scripps Research Institute)

  • Farin Ahmed

    (The Scripps Research Institute)

  • Austin Crinklaw

    (Jumpcode Genomics)

  • Kumari Sonal Choudhary

    (Jumpcode Genomics)

  • Tony Mandala

    (The Scripps Research Institute)

  • Jeffrey Deason

    (Jumpcode Genomics)

  • Jasmin S. Hamidi

    (The Scripps Research Institute)

  • Azeem Siddique

    (Jumpcode Genomics)

  • Sridhar Ranganathan

    (Jumpcode Genomics)

  • Keith Brown

    (Jumpcode Genomics)

  • Jon Armstrong

    (Jumpcode Genomics)

  • Steven Head

    (The Scripps Research Institute)

  • Phillip Ordoukhanian

    (The Scripps Research Institute)

  • Lars M. Steinmetz

    (Stanford University School of Medicine
    Stanford Genome Technology Center
    Genome Biology Unit)

  • Eric J. Topol

    (The Scripps Research Institute)

Abstract

Single-cell RNA-seq (scRNAseq) struggles to capture the cellular heterogeneity of transcripts within individual cells due to the prevalence of highly abundant and ubiquitous transcripts, which can obscure the detection of biologically distinct transcripts expressed up to several orders of magnitude lower levels. To address this challenge, here we introduce single-cell CRISPRclean (scCLEAN), a molecular method that globally recomposes scRNAseq libraries, providing a benefit that cannot be recapitulated with deeper sequencing. scCLEAN utilizes the programmability of CRISPR/Cas9 to target and remove less than 1% of the transcriptome while redistributing approximately half of reads, shifting the focus toward less abundant transcripts. We experimentally apply scCLEAN to both heterogeneous immune cells and homogenous vascular smooth muscle cells to demonstrate its ability to uncover biological signatures in different biological contexts. We further emphasize scCLEAN’s versatility by applying it to a third-generation sequencing method, single-cell MAS-Seq, to increase transcript-level detection and discovery. Here we show the possible utility of scCLEAN across a wide array of human tissues and cell types, indicating which contexts this technology proves beneficial and those in which its application is not advisable.

Suggested Citation

  • Amitabh C. Pandey & Jon Bezney & Dante DeAscanis & Ethan B. Kirsch & Farin Ahmed & Austin Crinklaw & Kumari Sonal Choudhary & Tony Mandala & Jeffrey Deason & Jasmin S. Hamidi & Azeem Siddique & Sridha, 2025. "A CRISPR/Cas9-based enhancement of high-throughput single-cell transcriptomics," Nature Communications, Nature, vol. 16(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59880-2
    DOI: 10.1038/s41467-025-59880-2
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    References listed on IDEAS

    as
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